sample_size: Sample size calculation

In radiant.design: Design Menu for Radiant: Business Analytics using R and Shiny

Sample size calculation

Description

Sample size calculation

Usage

sample_size(
  type,
  err_mean = 2,
  sd_mean = 10,
  err_prop = 0.1,
  p_prop = 0.5,
  conf_lev = 0.95,
  incidence = 1,
  response = 1,
  pop_correction = "no",
  pop_size = 1e+06
)

Arguments

type	Choose "mean" or "proportion"
err_mean	Acceptable Error for Mean
sd_mean	Standard deviation for Mean
err_prop	Acceptable Error for Proportion
p_prop	Initial proportion estimate for Proportion
conf_lev	Confidence level
incidence	Incidence rate (i.e., fraction of valid respondents)
response	Response rate
pop_correction	Apply correction for population size ("yes","no")
pop_size	Population size

Details

See https://radiant-rstats.github.io/docs/design/sample_size.html for an example in Radiant

Value

A list of variables defined in sample_size as an object of class sample_size

See Also

summary.sample_size to summarize results

Examples

sample_size(type = "mean", err_mean = 2, sd_mean = 10)

radiant.design documentation built on Sept. 8, 2023, 5:45 p.m.